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The Matlab functions and scr ipts in the MA toolbox are:
- ma_sone wav (PCM) to sone (specific loudness sensation)
- ma_mfcc wav (PCM) to MFCCs (Mel Frequency Cepstrum Coefficients)
- ma_sh sone to Spectrum Histogram
- ma_ph sone to
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对模式识别中的字符串模板匹配问题进行的研究，设计了对任意字符串进行匹配和字符串相似度，即列文斯顿距离进行计算的算法-right pattern recognition template matching string for the research and design of the arbitrary strings and string matching similarity, Ken Livingstone distance calculation algorithm
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基于local ternary pattern feature 和 distance transform-based similarity metric 相结合的人脸方法识别技术研究-combining the local ternary pattern feature and distance transform-based similarity metric method for robust face recognition.
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现代模式识别根据相似阈值和最小距离原则的简单聚类方法-Modern pattern recognition based on the similarity threshold values and the principles of a simple minimum distance clustering method
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孙即祥：《现代模式识别》P.26：根据相似性阈值和最小距离原则的简单聚类方法MATLAB（另一种方法实现同一种算法）-SUN Xiang: " Modern pattern recognition" P.26: According to the similarity threshold and minimum distance principle of a simple clustering method MATLAB (another way to achieve the s
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基于奇异值分解的人脸识别方法
梁毅雄 龚卫国 潘英俊 李伟红 刘嘉敏 张红梅
提出了一种将傅里叶变换和奇异值分解相结合的人脸自动识别方法.首先对人脸图像进行傅里叶变换,得到其具有位移不变特性的振幅谱表征.其次,从所有训练图像样本的振幅谱表征中给定标准脸并对其进行奇异值分解,求出标准特征矩阵,再将人脸的振幅谱表征投影到标准特征矩阵后得到的投影系数作为该人脸的模式特征.然后,对经典的最近邻分类器算法进行了改进,并采用模式特征之间的欧式距离作为相似性度量,从而完成对未知人脸的识别.采用ORL
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该源码实现对时间序列进行算法复杂性计算，近似熵计算等功能。-computes the algorithmic complexity on the time series，the approximate entropy that measures the
so-called "pattern similarity" in a given time series and so on.
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实现了利用数字图像模式识别技术实现对人脸的自动检测与特征定位。包括有脸相似度计算、人脸轮廓提取、人脸定位、脸内轮廓提取、眼睛定位、鼻子定位和嘴定位等部分。-Achieved using digital image pattern recognition technology to the automatic human face detection and feature location. Include face similarity calculation, face contour ex
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About correlation. In signal processing, cross-correlation is a measure of similarity of two waveforms as a function of a time-lag applied to one of them. This is also known as a sliding dot product or inner-product. It is commonly used to search a l
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In signal processing, cross-correlation is a measure of similarity of two waveforms as a function of a time-lag applied to one of them. This is also known as a sliding dot product or inner-product. It is commonly used to search a long duration signal
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模式识别中的ISODATA算法，以及利用模式相似性测度分类的源程序-The ISODATA algorithm for pattern recognition and classification using pattern similarity measure of the source
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本文提出了一种基于学习的相似性度量方
法, 即将图像配准的度量问题转化为模式分类问题, 由基于机器学习设计的分类器自动检验图像是否配准. 本文对400 组图像进行了配准检验, 实验结果显示了该方法的可行性和可靠性.-This paper proposes a similarity measure based on learning methods, about the measurement problems of image registration into the pattern c
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一种基本的模式识别方法，运行后待检测图像与模板图像的相同或相似之处会被白色矩形框标明。-This is a basic method of pattern recognition, The similarity or identity between tested image and template image will be marked by a white rectangle.
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聚类（Cluster）分析是由若干模式（Pattern）组成的，通常，模式是一个度量（Measurement）的向量，或者是多维空间中的一个点。聚类分析以相似性为基础，在一个聚类中的模式之间比不在同一聚类中的模式之间具有更多的相似性。
-Cluster (Cluster) analysis was performed by a number of models (Pattern) composed of, usually, model is a measure of (Measurement
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相似度算法的实现， 在利用支持向量机进行模式分类的时候，有时需要考虑到实时性，为了提高实时性，则利用相似度算法减少样本集个数，从而减少训练时间和支持向量的个数，使得建立起的向量机实时性提高。-Similarity algorithm, support vector machine in pattern classification, it is sometimes need to take into account the real-time, in order to improve real-
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论文提出了一种借助相似变换和Arnold变换
成图案纹样的方法,通过对图案基元进行相似变换
对变换后的规则纹样进行扰动，使其在保留原图案
格和特色基本不变的情况下,产生不规则的纹样
果，从而达到传承民间艺术图案风格的特点。-Paper proposes a transform and Arnold transform with similar patterns into a pattern approach pattern primitives through the simil
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实现了利用数字图像模式识别技术实现对人脸的自动检测与特征定位。包括有脸相似度计算、人脸轮廓提取、人脸定位、脸内轮廓提取、眼睛定位、鼻子定位和嘴定位等部分。-Achieved using digital image pattern recognition technology to the automatic human face detection and feature location. Include face similarity calculation, face contour ex
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This package contains the Matlab implementation of the method proposed by W. Lian and L. Zhang, “Robust Point Matching Revisited: A Concave Optimization Approach,” in ECCV 2012.There are two main files, "demo_2D_similarity.m" for demonstrat
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相似度算法的实现， 在利用支持向量机进行模式分类的时候，有时需要考虑到实时性，为了提高实时性，则利用相似度算法减少样本集个数，从而减少训练时间和支持向量的个数，使得建立起的向量机实时性提高-Similarity algorithm, in the use of support vector machines for pattern classification, sometimes need to be considered real-time, in order to improve real
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Best Buddies Similarity for Robust Template Matching论文代码，实现卢邦的土相匹配功能-Best Buddies Similarity for Robust Template Matching，Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on
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